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For Companies At a Glance
- Tasks: Identify and optimise performance improvements in F1's technical and operational systems.
- Company: Join McLaren, a pioneering racing team setting high performance standards.
- Benefits: Enjoy private healthcare, car schemes, life insurance, and a vibrant work environment.
- Why this job: Make a real impact in the fast-paced world of Formula 1 racing.
- Qualifications: Strong analytical skills and experience in optimisation or performance analysis required.
- Other info: Work at the iconic McLaren Technology Centre with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
The Production workflow optimisation Specialist is responsible for identifying, modelling, and delivering performance improvements across the Formula 1 team's technical, operational, and organisational systems. Working at the intersection of data, engineering, and operations, the role ensures that opportunities are systematically identified, prioritised, and converted into measurable on-track and off-track performance advantages. This is a highly collaborative role that requires both strategic thinking and hands-on execution. You will partner with subject matter experts, engineers, and technicians to identify opportunity and deliver results whilst also mentoring colleagues, facilitating workshops, and driving a mindset of proactive improvement.
Responsibilities
- Optimise performance and systems by identifying inefficiencies across car development, manufacturing, operations, and trackside execution, applying modelling, simulation, and statistical analysis to balance trade-offs such as lap time, reliability, cost cap, and risk.
- Develop data-led decision tools and analytical models to support strategy, prioritisation, and operational planning, delivering clear, actionable recommendations to senior leadership.
- Lead continuous improvement initiatives, embedding evidence-based problem-solving, tracking realised benefits, and ensuring improvements deliver long-term, measurable performance gains.
- Drive cross-functional collaboration by connecting technical and operational teams, challenging existing processes constructively using data and logic, and enabling more effective, aligned ways of working.
- Promote innovation and marginal gains, using structured methodologies and analytics to uncover new opportunities, enhance processes, and elevate overall organisational performance.
Qualifications
- Strong analytical background (engineering, applied mathematics, physics, operations research or similar) with proven experience in optimisation, performance analysis, or complex systems improvement.
- Advanced data analysis and problem-solving skills, with the ability to translate complex insights into clear recommendations for senior stakeholders.
- Experience working in fast-paced, high-stakes environments, ideally with exposure to precision manufacturing or engineering processes.
- Knowledge of Lean, Six Sigma and change-management principles (Green/Black Belt preferred), with a track record of leading improvement initiatives end-to-end.
- Highly organised, self-motivated and an effective communicator with strong attention to detail.
About McLaren
At McLaren, our mission is to set the standard for high performance in sport. And everyone, in every part of the team, has a role to play. So if you want to test your ideas with the world watching... And measure your progress in milliseconds... And play your part in racing history... You belong here. High performance starts with you.
What McLaren can offer?
We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We show up every day with energy and enthusiasm, ready to play our part. We encourage and support diversity, equity and inclusion. We will actively promote a culture that values difference and eliminates discrimination in our workplace.
McLaren Racing is based at the iconic McLaren Technology Centre (MTC) near Woking. Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break-out areas, as well as direct access to park and common land. The MTC is connected to Woking mainline station via regular shuttle buses, from which London Waterloo is a 30 minute train ride. We offer a comprehensive package of benefits including private healthcare, car schemes, life insurance and generous pension contributions.
Production workflow optimisation Specialist employer: McLaren Racing
Contact Detail:
McLaren Racing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production workflow optimisation Specialist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at McLaren. LinkedIn is your best mate here – connect, engage, and don’t be shy to ask for a chat about their experiences. You never know who might put in a good word for you!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your analytical prowess and optimisation projects. When you get the chance to chat with hiring managers, share these insights to demonstrate how you can bring value to the team.
✨Tip Number 3
Be proactive! If you see an opportunity to improve something in the application process or during interviews, don’t hesitate to suggest it. This shows your mindset of continuous improvement, which is exactly what they’re looking for!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the McLaren family. Don’t miss out on this chance!
We think you need these skills to ace Production workflow optimisation Specialist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Production Workflow Optimisation Specialist role. Highlight your analytical skills and experience in optimisation, as well as any relevant projects that showcase your ability to drive performance improvements.
Showcase Your Collaboration Skills: Since this role is all about teamwork, don’t forget to mention your experience working with cross-functional teams. Share examples of how you've partnered with engineers or technicians to achieve results, as this will resonate well with us at McLaren.
Be Data-Driven: We love data! Make sure to include specific examples of how you've used data analysis and modelling in your previous roles. This could be anything from developing decision tools to leading continuous improvement initiatives—just make it clear how you’ve made a measurable impact.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team at McLaren!
How to prepare for a job interview at McLaren Racing
✨Know Your Data
As a Production Workflow Optimisation Specialist, you'll be working with data constantly. Brush up on your analytical skills and be prepared to discuss how you've used data analysis in past roles. Bring examples of how you've identified inefficiencies and turned them into measurable improvements.
✨Showcase Your Collaboration Skills
This role is all about teamwork. Be ready to share experiences where you've successfully collaborated with engineers or technicians. Highlight any workshops you've facilitated or mentoring you've done, as this will show your ability to drive cross-functional collaboration.
✨Understand Lean and Six Sigma Principles
Familiarise yourself with Lean and Six Sigma methodologies, especially if you have Green or Black Belt experience. Be prepared to discuss specific initiatives you've led that align with these principles, and how they resulted in performance gains.
✨Prepare for Problem-Solving Scenarios
Expect to tackle some real-world problems during the interview. Practice articulating your thought process when faced with complex systems challenges. Use structured methodologies to demonstrate how you approach problem-solving and decision-making.
